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Отзывы учащихся о курсе Generate Synthetic Images with DCGANs in Keras от партнера Coursera Project Network

4.5
звезд
Оценки: 237
Рецензии: 46

О курсе

In this hands-on project, you will learn about Generative Adversarial Networks (GANs) and you will build and train a Deep Convolutional GAN (DCGAN) with Keras to generate images of fashionable clothes. We will be using the Keras Sequential API with Tensorflow 2 as the backend. In our GAN setup, we want to be able to sample from a complex, high-dimensional training distribution of the Fashion MNIST images. However, there is no direct way to sample from this distribution. The solution is to sample from a simpler distribution, such as Gaussian noise. We want the model to use the power of neural networks to learn a transformation from the simple distribution directly to the training distribution that we care about. The GAN consists of two adversarial players: a discriminator and a generator. We’re going to train the two players jointly in a minimax game theoretic formulation. This course runs on Coursera's hands-on project platform called Rhyme. On Rhyme, you do projects in a hands-on manner in your browser. You will get instant access to pre-configured cloud desktops containing all of the software and data you need for the project. Everything is already set up directly in your internet browser so you can just focus on learning. For this project, you’ll get instant access to a cloud desktop with Python, Jupyter, and Keras pre-installed. Notes: - You will be able to access the cloud desktop 5 times. However, you will be able to access instructions videos as many times as you want. - This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions....

Лучшие рецензии

AA
26 мая 2020 г.

The course was well equipped. It gave me the basic idea of how GAN works and how to implement it. If you want to get started with GAN then it can be a better course to lead you.

AG
13 июня 2020 г.

In this course, you will learn about a lot of different ways to join ideas to make more complex and interesting knowledge of keras

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1–25 из 46 отзывов о курсе Generate Synthetic Images with DCGANs in Keras

автор: Krishna V D

29 мая 2020 г.

This course honestly felt like a joke, you're probably better off reading a medium article about GANs. Sure, It provides a very minimal objective, there are initially no instructions so there's nothing to explore, soon enough as you get into writing code, the more of a medium article it turns into except in video format.

автор: Saida M D C

25 мая 2020 г.

I learned, now I understand. Thank you

автор: DARSHAN D

1 авг. 2020 г.

Really great, But if you are coming from the TensorFlow specialization on Coursera, then you won't understand each line of code. You will get most of it, what it does as a whole, but not every line. So a little expertise on TensorFlow is required. Other than it was really great!

автор: Sai D P

12 июня 2020 г.

A great introduction to DCGANs application on a prominent dataset. However, I would have wanted a little more there and the reasoning behind using techniques. This is a great place if you want to learn the implementation and tinkering with a general DCGAN. Great instructor.

автор: Paras V

31 мая 2020 г.

The course was good but the cloud server had some issues initially but later that worked fine. Kudos to the Instructor!

автор: Andrea R

13 мая 2020 г.

It does not really check what you did

автор: Ha Q

22 июня 2020 г.

I would choose to learn online rather than study this course. The course was not well-prepared.

автор: Никита А Ф

10 сент. 2020 г.

Very poor explanation, a lot of unclear moments

автор: Abrar I A

27 мая 2020 г.

The course was well equipped. It gave me the basic idea of how GAN works and how to implement it. If you want to get started with GAN then it can be a better course to lead you.

автор: Abhishek P G

14 июня 2020 г.

In this course, you will learn about a lot of different ways to join ideas to make more complex and interesting knowledge of keras

автор: David C

20 авг. 2021 г.

V​ery clear and concise instructions, providing enough detail and references for further study.

автор: Sumit A T

21 июля 2020 г.

Excellent instructor. Dense with content and comments explaining bits of code.

автор: Warunee S

4 июля 2020 г.

I know DCGANs more for imploving skill and help you create image quanlity.

автор: sunil k s

13 авг. 2020 г.

This was very good guided project to understand practically

автор: BAPPADITYA D

4 июня 2021 г.

Very well explanation towards completion of the code.

автор: Adrien A

21 дек. 2020 г.

Quick and easy to follow, very informative as well!

автор: MS. S S

15 авг. 2020 г.

It was a great experience with the Guided projects

автор: Ahmed A

21 мая 2020 г.

It's a very good start to know more about GANs

автор: Ali A

19 июня 2020 г.

need more projects like this it was awesome

автор: Mayank S

1 мая 2020 г.

Great Course, Learned a lot. Thanks Snehan.

автор: Md. S A

6 сент. 2020 г.

It's a quick and very effective course

автор: Pratikshya M

2 нояб. 2020 г.

A good basic understanding of DCGANS.

автор: Rishabh R

17 мая 2020 г.

Mostly likeable project & good

автор: Vishnu N

18 окт. 2020 г.

Amazing Course on DCGans.

автор: Yuvraj S C

24 сент. 2020 г.

ek dam tanch maal h